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Research Spending & Results

Award Detail

Awardee:ARIZONA STATE UNIVERSITY
Doing Business As Name:Arizona State University
PD/PI:
  • Paul M Torrens
  • (647) 997-0500
  • torrens@nyu.edu
Award Date:04/11/2007
Estimated Total Award Amount: $ 333,136
Funds Obligated to Date: $ 312,116
  • FY 2011=$0
  • FY 2009=$141,699
  • FY 2007=$89,671
  • FY 2008=$80,746
Start Date:06/01/2007
End Date:03/31/2012
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.075
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:CAREER: Exploring the Dynamics of Individual Pedestrian and Crowd Behavior in Dense Urban Settings: A Computational Approach
Federal Award ID Number:0643322
DUNS ID:943360412
Parent DUNS ID:806345658
Program:Geography and Spatial Sciences

Awardee Location

Street:ORSPA
City:TEMPE
State:AZ
ZIP:85281-6011
County:Tempe
Country:US
Awardee Cong. District:09

Primary Place of Performance

Organization Name:Arizona State University
Street:ORSPA
City:TEMPE
State:AZ
ZIP:85281-6011
County:Tempe
Country:US
Cong. District:09

Abstract at Time of Award

Crowds are vital to the lifeblood of cities. Crowd behavior has largely been veiled from traditional academic inquiry, however. For example, it is impractical to establish live experiments with hundreds or thousands of people along busy streetscapes, to reproduce mob behavior during riots for the purposes of academic experimentation, or to expect to replicate the life-and-death behavior under emergency situations in a fabricated fashion. Modeling and simulation occupy a pivotal role in the research of crowd behavior as synthetic laboratories for exploring ideas and hypotheses that are simply not amenable to investigation by other means. Major advances have been made in modeling crowd dynamics, but challenges remain. The goal of this Faculty Early-Career Development (CAREER) award is to support research, education, and related activities that will develop a reusable and behaviorally founded computer model of pedestrian movement and crowd behavior amid dense urban environments. The investigator intends for this work to serve as a test-bed for experimentation with ideas, hypotheses, and plans that would otherwise lie beyond the reach of academic inquiry. The research will seek to advance the state-of-the-art in crowd modeling by representing individuals, crowds, and the ambient city with rich detail. Models will be built with theory-informed algorithms that capture the intricacies of human behavior. The model will be realized as a fully immersive three-dimensional environment that engages both the public and students, and it will convey intuitively complicated ideas about human movement and crowd behavior. A robust calibration and validation scheme will be employed to facilitate evaluation of policies and plans in simulation and mapping of models to real-world scenarios in public health, downtown revitalization, public safety, defense, large-scale event-planning, escape, evacuation, and emergencies. The project will be innovative in areas of methodological and substantive interest in many ways. It will push the current state-of-the-art in spatial modeling in the geographical sciences. The work will broaden the behavioral base for computational modeling of human movement. The project will contribute to the development of dynamic geographic information science. The work also will produce a novel validation scheme that combines GIS analytics based on time geography with spatial analysis, landscape metrics, and spatial statistics. Substantively, the model will be used to build theory in areas of human and urban geography that are traditionally ill-equipped for investigation and examination at the micro-scale and in massively dynamic contexts. Moreover, the model will serve as an experimental but wholly realistic environment for exploring "what-if" and unforeseen scenarios of relevance to cities and their citizens.

Publications Produced as a Result of this Research

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Torrens, Paul M.; "Geospatial exoskeletons for automata in agent-based models" Agent 2007: Complex Interaction and Social EmergenceChicago, pp. 457-464, v., 2007, p.457-464.

Torrens, Paul M.; "Geography and computational social science" GeoJournal, v.75, 2010, p.133-148.

Torrens, Paul M.; "Process models and next-generation geographic information technology" GIS Best Practices: Essays on Geography and GIS, v., 2009, p.63-75.

Torrens, Paul M.; "Behavioral intelligence for geospatial agents in urban environments" IEEE Intelligent Agent Technology (IAT 2007), v., 2007, p.63-66.

Torrens, Paul M.; "Agent-based modeling and the spatial sciences" Geography Compass, v.45, 2010, p.428-448.

Torrens, Paul M.; "Calibrating and validating cellular automata models of urbanization" Urban Remote Sensing: Monitoring, Synthesis and Modeling in the Urban Environment, v., 2010, p.335-345.

Nara, Atsushi;Torrens, Paul M.; "Spatial and temporal analysis of pedestrian egress behavior and efficiency" Association of Computing Machinery (ACM) Advances in Geographic Information Systems, v., 2007, p.284-287.

Griffin, William;Schmidt, Shana;Nara, Atsushi;Torrens, Paul M.;Sechler, Casey; "Integrating ABM and GIS to model typologies of playgroup dynamics in preschool children" Agent 2007: Complex Interaction and Social Emergence, v., 2007, p.17-24.

Torrens, Paul M.; "Cellular automata" International Encyclopedia of Human Geography, v., 2009, p.1-4.

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